E2 VoC Analyses Part 2: Regression Analyses

Participant info

Agency task: Agency decisions

Model: Agency decisions by VoC

## Mixed Model Anova Table (Type 3 tests, LRT-method)
## 
## Model: stage_1_choice ~ age_z * voc_z * condition_trial + (voc_z * condition_trial || 
## Model:     subject_id)
## Data: agency_model_data
## Df full model: 12
##                        Effect df      Chisq p.value
## 1                       age_z  1       0.00    .987
## 2                       voc_z  1 165.01 ***   <.001
## 3             condition_trial  1       0.02    .882
## 4                 age_z:voc_z  1  11.53 ***   <.001
## 5       age_z:condition_trial  1       0.01    .920
## 6       voc_z:condition_trial  1  51.03 ***   <.001
## 7 age_z:voc_z:condition_trial  1     4.51 *    .034
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1

Plot: Sensitivity to the value of choice

Plot: Sensitivity to value of choice with continuous age

Summary stats: Sensitivity to value of control

Agency task: Machine selection

Model: Optimal machine choices across trials by condition and age

## Mixed Model Anova Table (Type 3 tests, LRT-method)
## 
## Model: stage_2_acc ~ age_z * context * condition_trial + (context * 
## Model:     condition_trial || subject_id)
## Data: machine_model_data
## Df full model: 12
##                          Effect df     Chisq p.value
## 1                         age_z  1 15.19 ***   <.001
## 2                       context  1 28.01 ***   <.001
## 3               condition_trial  1 66.69 ***   <.001
## 4                 age_z:context  1      0.81    .369
## 5         age_z:condition_trial  1      0.51    .475
## 6       context:condition_trial  1    5.08 *    .024
## 7 age_z:context:condition_trial  1      2.18    .140
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1

Plot: Proportion optimal machine selections across age groups and trials

Explicit reward knowledge task

Explicit reward knowledge task: summary stats

Model: Explicit reward knowledge by age and true probabilities

## Mixed Model Anova Table (Type 3 tests, S-method)
## 
## Model: error ~ zTrueProb * zAge + (1 | subject_id)
## Data: explicitKnow.filtered
##           Effect        df         F p.value
## 1      zTrueProb 1, 733.00 20.64 ***   <.001
## 2           zAge 1, 145.00   7.82 **    .006
## 3 zTrueProb:zAge 1, 733.00      0.40    .525
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1

Plot: Explicit reward knowledge